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cs.CL2026
Dynamic Context Evolution for Scalable Synthetic Data Generation
Ryan Lingo, Rajeev Chhajer
Large language models produce repetitive output when prompted independently across many batches, a phenomenon we term cross-batch mode collapse: the progressive loss of output dive…
cs.CL2024
Enhancing LLM Problem Solving with REAP: Reflection, Explicit Problem Deconstruction, and Advanced Prompting
Ryan Lingo, Martin Arroyo, Rajeev Chhajer
Large Language Models (LLMs) have transformed natural language processing, yet improving their problem-solving capabilities, particularly for complex, reasoning-intensive tasks, re…